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A cosmic shear survey, spanning a significant proportion of the sky, should greatly improve constraints on a number of cosmological parameters. It also provides a unique opportunity to examine the matter power spectrum directly. However,…

Astrophysics · Physics 2009-11-13 Fergus Simpson

A bijection $\psi$ is defined between the prime spectrum of quantum $SL_3$ and the Poisson prime spectrum of $SL_3$, and we verify that $\psi$ and $\psi^{-1}$ both preserve inclusions of primes, i.e. that $\psi$ is in fact a homeomorphism…

Quantum Algebra · Mathematics 2017-05-04 Siân Fryer

Introduced is the notion of minimality for spectral representations of sum- and max-infinitely divisible processes and it is shown that the minimal spectral representation on a Borel space exists and is unique. This fact is used to show…

Probability · Mathematics 2016-01-18 Zakhar Kabluchko , Stilian Stoev

Large digital sky surveys, over a broad range of wavelengths, both from the ground and from space observatories, are becoming a major source of astronomical data. Some examples include the Sloan Digital Sky Survey (SDSS) and the Digital…

Astrophysics · Physics 2015-06-24 S. George Djorgovski , Robert J. Brunner

This research presents a comprehensive assessment of pan-sharpening techniques for satellite imagery, focusing on the critical aspects of spectral fidelity and spatial enhancement. Motivated by the need for informed algorithm selection in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Abdul Aziz A. B , A. B Abdul Rahim

We present a measurement of the linear growth rate of structure, \textit{f} from the Sloan Digital Sky Survey III (SDSS III) Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12 (DR12) using Convolution Lagrangian Perturbation…

In this, the first in a series of three papers concerning the SuperCOSMOS Sky Survey (SSS), we give an introduction and user guide to the survey programme. We briefly describe other wide-field surveys and compare with our own. We give…

The SkyServer provides Internet access to the public Sloan Digi-tal Sky Survey (SDSS) data for both astronomers and for science education. This paper describes the SkyServer goals and archi-tecture. It also describes our experience…

We demonstrate criteria, purely based on finite subwords of the potential, to guarantee spectral inclusion as well as Hausdorff approximation of pseudospectra or even spectra of generalized Schr\"odinger operators on the discrete line or…

Spectral Theory · Mathematics 2023-01-20 Fabian Gabel , Dennis Gallaun , Julian Großmann , Marko Lindner , Riko Ukena

In two-dimensional spectrographs, the optical distortions in the spatial and dispersion directions produce variations in the sub-pixel sampling of the background spectrum. Using knowledge of the camera distortions and the curvature of the…

Astrophysics · Physics 2009-12-08 Daniel D. Kelson

The Sloan Digital Sky Survey is an ambitious, multi-institutional project to create a huge digital imaging and spectroscopic data bank of 25% of the celestial sphere, approximately 10,000 deg^2 centred on the north galactic polar cap. The…

Astrophysics · Physics 2009-10-30 Bruce Margon

Recently, a new wave of full modeling analyses have emerged within the Large-Scale Structure community, leading mostly to tighter constraints on the estimation of cosmological parameters, when compared with standard approaches used over the…

Cosmology and Nongalactic Astrophysics · Physics 2023-10-30 Sadi Ramirez , Miguel Icaza-Lizaola , Sebastien Fromenteau , Mariana Vargas-Magaña , Alejandro Aviles

Spectral algorithms are an important building block in machine learning and graph algorithms. We are interested in studying when such algorithms can be applied directly to provide optimal solutions to inference tasks. Previous works by…

Data Structures and Algorithms · Computer Science 2022-10-13 Souvik Dhara , Julia Gaudio , Elchanan Mossel , Colin Sandon

The spectral risk has wide applications in machine learning, especially in real-world decision-making, where people are not only concerned with models' average performance. By assigning different weights to the losses of different sample…

Optimization and Control · Mathematics 2024-07-23 Yuze Ge , Rujun Jiang

The Extended Baryon Oscillation Spectroscopic Survey (eBOSS) will conduct novel cosmological observations using the BOSS spectrograph at Apache Point Observatory. Observations will be simultaneous with the Time Domain Spectroscopic Survey…

Cosmology and Nongalactic Astrophysics · Physics 2016-02-17 Kyle S. Dawson , Jean-Paul Kneib , Will J. Percival , Shadab Alam , Franco D. Albareti , Scott F. Anderson , Eric Armengaud , Eric Aubourg , Stephen Bailey , Julian E. Bautista , Andreas A. Berlind , Matthew A. Bershady , Florian Beutler , Dmitry Bizyaev , Michael R. Blanton , Michael Blomqvist , Adam S. Bolton , Jo Bovy , W. N. Brandt , Jon Brinkmann , Joel R. Brownstein , Etienne Burtin , N. G. Busca , Zheng Cai , Chia-Hsun Chuang , Nicolas Clerc , Johan Comparat , Frances Cope , Rupert A. C. Croft , Irene Cruz-Gonzalez , Luiz N. da Costa , Marie-Claude Cousinou , Jeremy Darling , Axel de la Macorra , Sylvain de la Torre , Timothee Delubac , Helion du Mas des Bourboux , Tom Dwelly , Anne Ealet , Daniel J. Eisenstein , Michael Eracleous , S. Escoffier , Xiaohui Fan , Alexis Finoguenov , Andreu Font-Ribera , Peter Frinchaboy , Patrick Gaulme , Antonis Georgakakis , Paul Green , Hong Guo , Julien Guy , Shirley Ho , Diana Holder , Joe Huehnerhoff , Timothy Hutchinson , Yipeng Jing , Eric Jullo , Vikrant Kamble , Karen Kinemuchi , David Kirkby , Francisco-Shu Kitaura , Mark A. Klaene , Russ R. Laher , Dustin Lang , Pierre Laurent , Jean-Marc Le Goff , Cheng Li , Yu Liang , Marcos Lima , Qiufan Lin , Weipeng Lin , Yen-Ting Lin , Daniel C. Long , Britt Lundgren , Nicholas MacDonald , Marcio Antonio Geimba Maia , Elena Malanushenko , Viktor Malanushenko , Vivek Mariappan , Cameron K. McBride , Ian D. McGreer , Brice Menard , Andrea Merloni , Andres Meza , Antonio D. Montero-Dorta , Demitri Muna , Adam D. Myers , Kirpal Nandra , Tracy Naugle , Jeffrey A. Newman , Pasquier Noterdaeme , Peter Nugent , Ricardo Ogando , Matthew D. Olmstead , Audrey Oravetz , Daniel J. Oravetz , Nikhil Padmanabhan , Nathalie Palanque-Delabrouille , Kaike Pan , John K. Parejko , Isabelle Paris , John A. Peacock , Patrick Petitjean , Matthew M. Pieri , Alice Pisani , Francisco Prada , Abhishek Prakash , Anand Raichoor , Beth Reid , James Rich , Jethro Ridl , Sergio Rodriguez-Torres , Aurelio Carnero Rosell , Ashley J. Ross , Graziano Rossi , John Ruan , Mara Salvato , Conor Sayres , Donald P. Schneider , David J. Schlegel , Uros Seljak , Hee-Jong Seo , Branimir Sesar , Sarah Shandera , Yiping Shu , Anze Slosar , Flavia Sobreira , Alina Streblyanska , Nao Suzuki , Charling Tao , Donna Taylor , Jeremy L. Tinker , Rita Tojeiro , Mariana Vargas-Magana , Yuting Wang , Benjamin A. Weaver , David H. Weinberg , Martin White , W. M. Wood-Vasey , Christophe Yeche , Zhongxu Zhai , Cheng Zhao , Gong-bo Zhao , Zheng Zheng , Guangtun Ben Zhu , Hu Zou

Spectrum sensing is an essential functionality that enables cognitive radios to detect spectral holes and opportunistically use under-utilized frequency bands without causing harmful interference to primary networks. Since individual…

Information Theory · Computer Science 2009-11-13 Zhi Quan , Shuguang Cui , Ali. H. Sayed , H. Vincent Poor
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